We are advancing AI to power the future of medicine.
At Unlearn, our purpose is to advance artificial intelligence (AI) to eliminate trial and error in medicine. We are developing generative machine learning methods to predict individual health outcomes and accelerate clinical innovation. Today, we are reimagining the randomized control trial (RCT) for the 21st century through AI-powered clinical trials or TwinRCT. A TwinRCT allows more trial patients to receive the experimental treatment, reaches full enrollment faster and put patients first. Our innovative work in AI today will reinvent how AI is applied in medicine tomorrow — and we have a top secret plan for how to get there. We won’t be able to achieve this mission just by applying technologies created by others; the future must be invented.
Unlearn is a technology company, not a biotech company. We use computers, not pipettes. We make and use software, we don’t discover or make drugs. We believe that AI will define the future of medicine, and we aren’t deterred by naysayers or skeptics.
We come from a variety of backgrounds ranging from machine learning to marketing—but regardless of where we come from, Unlearners share some common traits:
>> Unlearners are ambitious; we aren’t intimidated by big, challenging goals.
>> Unlearners are disciplined experimenters; we break down our big goals into smaller chunks and meet as often as necessary to track our velocity and iterate quickly.
>> Unlearners are gritty; we never give up, setbacks just make us try harder.
>> Unlearners are receptive to new ideas; in fact, we hate being stuck with the status quo.
>> Unlearners are storytellers; sharing information with each other and with the world is super important, too important to be boring. And, last but not least,
>> Unlearners are team-oriented; we put the mission first, the company second, the team third, and individuals last.
Founded in 2017 by a team of world-class machine learning scientists, we have raised venture capital from top tier investors such as Insight Partners, Radical Ventures, 8VC, DCVC, and DCVC Bio. We completed our $50 million Series B in April 2022. We are headquartered in San Francisco, CA and have an additional office in Boston, MA.
If our purpose and culture resonate with you, we invite you to apply.
About the Role
The Applied Biostatistician plays a critical role in collaborations with external statistical and technical teams to deliver Unlearn’s cutting-edge TwinRCT, a smaller and more efficient randomized clinical trial.
Responsibilities
- As a Biostatistician, your primary responsibilities are: Collaborate with customers to implement novel methods in clinical trials
- Conduct sample size estimates for trials that will use PROCOVA™
- Advise customers on analysis plans for trials that use AI-generated digital twinsIdentify optimal SAS code for model implementations
- Assist customers in interpreting analyses that use AI-generated digital twins
- Support statistical sections of regulatory submissions
- Collaborate with the machine learning team on model evaluation and evidence generation
- Masters in Biostatistics or equivalent experience with an advanced degree in a similar field
- At least 2 years of experience in healthcare supporting clinical trials
- Experience writing statistical analysis plans involving linear and non-linear models
- Knowledge of SAS statistical procedures
- Experience with randomized controlled trial study design
- Ability to be in the office at least 2 days per week
Benefits & Perks
We offer a suite of benefits and perks for our team members, including:
• Company-paid medical, dental, & vision insurance
• 401k plan with generous company matching
• Flexible time off and an annual winter break (December 24 - January 1)
• Professional development budget to attend conferences or other events
• One-time home-office set up stipend
• Commuter benefits to help you get to our offices easily
• Paid Parental Leave
• Equity education and tax advisory services
Unlearn is an equal opportunity employer.
At Unlearn, we are committed to building a diverse and inclusive workplace, because inclusion and diversity are essential to achieving our mission. If you’re excited about this role, and your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply nevertheless.
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